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Can generative AI help with climate change?
A new UN report highlights the urgent need to decarbonize shipping, estimating that the investment needed could top $2 trillion (https://unctad.org/rmt2023).
But Bearing AI is already addressing this today, using AI to optimize existing vessels' operations to reduce fuel and emissions by ~10%.
If Bearing’s software were deployed to the global fleet, it would be equivalent to swapping out 6,000+ vessels for carbon-neutral vessels overnight (the price of one new carbon-neutral vessel can easily be $50+m). -
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Many AI-savvy programmers are now coding very differently than before, by using LLMs to help with their work. You’ll learn these emerging best practices in “Pair Programming with a Large Language Model,” by Google's Laurence Moroney.
This short course covers using LLMs to simplify and improve your code, assist with debugging, and minimize technical debt by having AI document your code. The use of LLMs as a programming companion is an important shift that's well worth every developer staying on top of. Please check this out! https://lnkd.in/grDkZbDAMedia is loading -
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Looking for AI project ideas for a large company or industry sector? I share in The Batch a brainstorming recipe: (i) break jobs down into tasks, (ii) evaluate common tasks for AI assistance or automation, (iii) assess value. Check out details & examples here: https://lnkd.in/ghWn9aBE
This is based on a technique that economists use to analyze AI, that's also used by Workhelix (an AI Fund portfolio company co-founded by Erik Brynjolfsson, Andrew McAfee, James Milin, Daniel Rock) to help enterprises assess their generative AI opportunities. -
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Thanks everyone for all the guesses! Here’s the big reveal. Of the four clips, the one that was my real voice is…
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The 4th clip. The others (1-3) were my voice clone created by Speechlab.
By the way, my parents guessed 3 and 4. Given that even my parents can’t tell, I think this clone is really good!
P.S. Don’t ask me which parent guessed which. I don’t want to get into trouble with them.😬 -
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Looking forward to traveling this and next week to talk about AI! Here’s where I’ll be:
- Japan 🇯🇵 Jul 13-15
- Singapore 🇸🇬 Jul 16-18
- Korea 🇰🇷 Jul 19-21
I’m also looking forward to eating some authentic 親子丼 (Oyakodon), Chilli Crab, and 비빔밥 (Bibimbap)! -
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LangChain: Chat with Your Data, a new free short course created with Harrison Chase, is now available!
In this 1 hour course, you’ll learn how to build one of the most requested LLM-based applications: Answering questions using information from a document or collection of documents (often called Retrieval Augmented Generation). You'll also learn how to use vector stores and embeddings to retrieve document chunks relevant to a query.
Check it out here: https://lnkd.in/gxTfH4M5Media is loading -
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New course! Generative AI with Large Language Models, created with AWS and hosted on Coursera. This course goes deep into the technical foundations of LLMs and how to use them. You can sign up here: https://lnkd.in/gUYSmCYx
You’ll work through the full life-cycle of a generative AI project, and learn specific techniques like RLHF; zero-shot, one-shot, and few-shot learning with LLMs; advanced prompting frameworks like ReAct; even fine-tuning LLMs, and gain hands-on practice with all of these techniques.
Instructors Antje Barth, Chris Fregly, Shelbee Eigenbrode and Mike Chambers all do incredible Generative AI work at AWS, and have supported many companies to build many LLM applications. They bring tremendous practical LLM expertise to this course.
I'm confident you’ll finish this course with a deeper understanding of how LLMs work, and how to use them. I hope you enjoy the course!Captions are auto generatedMedia is loadingI'm thrilled to announce this course on generative AI with -
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Hello Vancouver! Looking to speaking at the CVPR conference's Computer Vision in the Wild workshop tomorrow morning, on Visual Prompting! https://lnkd.in/ga_ScD84We are super excited to announce that Dr. Andrew Ng will be giving a keynote talk at our 2nd Computer Vision in the Wild (CVinW) Workshop with CVPR 2023! Dr. Ng is the pioneer of deep learning, founder of LandingAI (https://landing.ai/), and leader of many well-known AI projects. His recent focus on data-centric AI for vision is perfectly aligned with our workshop! Please join us on June 19th in Vancouver!
We have a fabulous list of speakers and panelists, as well as a set of ruining challenges to solve CVinW.
Please consider to submit your papers for discussion, and check out:
- Workshop Website: https://lnkd.in/gHW6K6tu
- What is CVinW? https://lnkd.in/gwHHbh3S -
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AI art isn't ready yet to take over the world! My 4 year old daughter made this lovely camera -- with removable polaroid picture action -- for me for Father's Day, and I love this so much more than anything Midjourney's ever generated. ❤️
Happy Father's Day everyone! -
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AI and coding is now so important to society, and gaining AI and coding skills is so empowering of individuals, that schools should teach it to every child. My piece with Andrea Pasinetti on this. -
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Had an insightful conversation with Geoff Hinton about AI and catastrophic risks. Two thoughts we want to share:
(i) It's important that AI scientists reach consensus on risks-similar to climate scientists, who have rough consensus on climate change-to shape good policy.
(ii) Do AI models understand the world? We think they do. If we list out and develop a shared view on key technical questions like this, it will help move us toward consensus on risks.
I learned a lot speaking with Geoff. Let’s all of us in AI keep having conversations to learn from each other!Media is loading -
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Had a great conversation with Yoshua Bengio. Both of us agreed that a good step forward for AI risk is to articulate the concrete scenarios where AI can lead to significant harm. More to come, and looking forward to continuing the conversation!Media is loading -
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I'd like to have a real conversation about whether AI is a risk for human extinction. Honestly, I don't get how AI poses this risk.
What are your thoughts? And, who do you think has a thoughtful perspective on how AI poses this risk that I should talk to?Media is loading -
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The false and sensationalist coverage of the purported Air Force simulation where an AI-drone decided to kill an operator will be remembered as a highly regrettable episode of AI doomsaying hype. Lets be honest about what are, and what are not, real risks.
Developers who’re shipping AI products do see real risks like bias, fairness, inaccuracies and job displacement, and are working to address them. Hype about unrealistic risks distracts everyone from the real problems. It also unnecessarily discourages people from entering AI and building things that help people.
Here’s a Vice article that describes in more detail what happened. https://lnkd.in/gD4jixnG -
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Thrilled to announce: 3 new Generative AI courses! Check them out here: https://lnkd.in/gQdegxe2
I. Building Systems with the ChatGPT API, taught by OpenAI's Isa Fulford and me: Go beyond individual prompts, and learn to build complex applications that use multiple API calls to an LLM. Also learn to evaluate an LLM's outputs for safety and accuracy, and drive iterative improvements. https://lnkd.in/gaJ7krqx
II. LangChain for LLM Application Development, taught by LangChain's CEO Harrison Chase and me: Learn this powerful open-source tool for building applications using LLMs, including memory for chatbots, Question answering over a doc, and an LLM agent that can decide what action to take next. https://lnkd.in/gzzDqTDr
III. How Diffusion Models Work, taught by Lamini's CEO Sharon Zhou: Learn the technical details of how diffusion models - which power Midjourney, DALL·E, and Stable Diffusion - works. You’ll also end up with working code to generate your own video game sprites in a Jupyter notebook! https://lnkd.in/gBqUKuwV.
All of these courses are free for a limited time, and each can be completed in around 1-1.5 hours. I hope you enjoy them. Also, please help me spread the word and encourage others to sign up too! -
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When I think of existential risks to large parts of humanity:
* The next pandemic
* Climate change leading to massive depopulation
* Another asteroid
AI will be a key part of our solution. So if you want humanity to survive & thrive the next 1000 years, lets make AI go faster, not slower. -
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Congratulations Andrea Pasinetti, Jagriti Agrawala and the Kira Learning team! AI and computing are an integral part of our lives, and the right time to start learning it is K12. I'm thrilled to see Kira Learning's momentum taking much needed AI and CS education to high schools and middle schools, and AI Fund is proud to support this effort.We're excited to announce Kira Learning's $15M Series A led by New Enterprise Associates (NEA), with participation from AI Fund and Primavera.
We are also announcing a partnership with the Tennessee STEM Innovation Network (TSIN), managed by Battelle Education, following a competitive RFP process, to provide all public high schools and middle schools in the state with an introductory CS curriculum and an unparalleled, integrated teaching-learning platform. TSIN, the Tennessee Department of Education, and Battelle will leverage the curriculum and platform to implement the state's new computer science requirement in high schools.
#ai #education -
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Over 200,000 people have signed up for our new short course! ChatGPT prompt engineering for developers, taught with OpenAI's Isabella Fulford.
You can still access it for free here: https://lnkd.in/gmNZYMEy -
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Thrilled to announce: Our new course ChatGPT Prompt Engineering for Developers, created together with OpenAI, is available now for free! Access it here: https://lnkd.in/gmNZYMEy
In this short, 1.5 hour course, Isa Fulford and I teach how you can build applications quickly using large language models (LLMs), and best practices for doing so. Thank you Isa and the OpenAI team for collaborating on this exciting course.
Until now, there has been relatively little material on best practices for developers wanting to build applications using API access to LLMs (as opposed to how to prompt the web UI). We’re excited to change that. I hope you enjoy the course!
Captions are auto generatedMedia is loadingI'm thrilled to share with you this new course on ChatGPT -
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Visual Prompting takes ideas from text prompting, which has transformed NLP, to computer vision. Via a simple "visual prompt", you can build a vision model in seconds. I find it great fun to play with. Please try it out here: https://lnkd.in/grfyMYDTMedia is loading -
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Join me for a 30min chat on Tuesday to discuss Visual Prompting. Text prompting has revolutionized NLP:
Traditional AI: Label -> Train -> Predict
Prompt based AI: Prompt -> Predict
I’ll share early thoughts on taking these ideas from text to computer vision with Visual Prompting. Please RSVP here: -
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Many AI businesses are searching for moats. A data moat strengthens your defenses if the data is hard to replicate. But if a business offers direct access to a ML model's output (like many LLMs), competitors can use that output as labeled training data, circumventing the moat.
While a data moat can be helpful, I find people tend to overestimate its strength. The engineering recipe of training on someone else’s API output also raises technical, business and legal questions. My longer piece on this in The Batch: -
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Here's a video of my conversation with Yann LeCun about the proposed 6 month AI pause. I would love to hear what you think of the AI pause -- please reply to share your thoughts! https://lnkd.in/gts-mcUr -
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Yann LeCun and I have thought a lot about the proposed 6 month AI pause, and plan to chat about it on Friday - the questions it raises for AI and its impact on developers and companies. Please join Yann and me for the conversation! RSVP here: -
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The call for a 6 month moratorium on making AI progress beyond GPT-4 is a terrible idea.
I'm seeing many new applications in education, healthcare, food, ... that'll help many people. Improving GPT-4 will help. Lets balance the huge value AI is creating vs. realistic risks.
There is no realistic way to implement a moratorium and stop all teams from scaling up LLMs, unless governments step in. Having governments pause emerging technologies they don’t understand is anti-competitive, sets a terrible precedent, and is awful innovation policy.
Responsible AI is important, and AI has risks. The popular press narrative that AI companies are running amok shipping unsafe code is not true. The vast majority (sadly, not all) of AI teams take responsible AI and safety seriously. Let's invest more in safety while we advance the technology, rather than stifle progress.
A 6 month moratorium is not a practical proposal. To advance AI safety, regulations around transparency and auditing would be more practical and make a bigger difference.
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Workera uses generative AI to develop assessments to measure technical skills. (Assessments are vetted by expert humans before being used.) This helps companies and individuals get a granular skill assessment, to decide where to invest in development and grow careers more efficiently.
Congratulations to my friend Kian Katanforoosh and Workera (an AI Fund portfolio company) for raising its $23.5M Series B to keep growing its skills intelligence platform! -
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If you’re a frequent user of ChatGPT, what are you using it for? -
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Dealing with SVB's collapse, I've been seeing a lot of the best of the AI & startup world: People are helping each other, sharing tips, even wiring funds based on trust and without docs so someone else can make payroll. Very encouraging seeing our community rise together to meet the challenge! -
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I'm glad the US government is looking into protecting SVB's depositors. I see no need to bail out the bank's investors, but failing to protect depositors - who had done nothing wrong and taken no reckless risks - can mean large layoffs, damage to trust in the banking system, and setting back AI & tech innovation by years. -
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One year from now, what size LLM (large language model) do you think will be used for the most inferences?
21,804 votes
•Poll closed
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Building and deploying a machine learning model usually takes months. How can you go from starting a project to training and deploying your model in minutes? Here's a 3min overview of the LandingLens platform.Media is loading -
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Cool WSJ piece by Isabelle Bousquette on how tools like Landing AI's computer vision platform make ML systems easier to build. -
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Landing AI is releasing our computer vision tool for anyone to use! Start for free at http://landing.ai
You can label images, train a model, and deploy your model to production in minutes. Our data-centric tool then helps you improve your model quickly.
We’re on a mission to democratize access to AI creation, so everyone can easily train and deploy custom ML models on their own data. Every business and every person now has their own data, so using only models that someone else had trained on their data is not good enough.
But building and deploying ML systems is hard. After years of work, I’m thrilled to finally offer LandingLens to everyone. Computer vision projects that used to take me a year are now done in days/weeks on LandingLens. Please try it out and also help me spread the word! -
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Just as Instagram’s parade of perfect physiques makes people feel they don’t measure up, AI’s parade of exciting projects can make people feel their own projects are lacking. Don’t let shiny objects make you doubt the worth of your work!
Read more: -
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Happy Valentine's Day -- love you all! ❤️ ❤️ ❤️ -
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With AI surging, business leaders need to guide organizations through rapidly emerging opportunities and threats. I’m delighted FourthBrain is offering a live workshop on this, that I'm looking forward to speaking at. -
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I wish schools could make homework so joyful that students want to do it themselves, rather than let ChatGPT have all the fun. -
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If you're starting a reading group on Large Language Models (LLMs), what is one research paper you will want added to the reading list?
Researchers: Feel free to recommend your own paper too! -
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Math for Machine Learning and Data Science is now available on Coursera! Taught by Luis Serrano, this gives an intuitive understanding of the most important math concepts for AI.
I’ve often said “don’t worry about it” when it comes to math, because math shouldn’t hold anyone back from making progress in ML. And, understanding some key topics in linear algebra, calculus, and prob & stats will help you better get learning algorithms to work.
This specialization was designed with numerous interactive visualizations to help you see how the math works. Math isn’t about memorizing formulas; it’s about sharpening your intuition. I hope you enjoy the specialization! -
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Do large language models like ChatGPT have a shot at disrupting search engines? I share my take here. (Short answer: Yes. But the details are complicated.) -
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Several leaders write about their hopes for AI in 2023 in The Batch, including finding key missing pieces that will enable algorithms to reason, building a personal data timeline, improving AI processes, discovering new principles for explainability, and using generative AI for active learning.
* Yoshua Bengio wants to develop new architectures that can discover and reason with high-level concepts, rather than just brute force the learning process by scaling up existing models’ data and compute.
* Alon Halevy envisions AI capturing massive amounts of data from your daily life -- photos, browsing, purchases -- and fusing it into a personal timeline that helps you track and achieve your goals, while preserving privacy.
* Douwe Kiela points out key directions: Multimodality, grounding, and interaction so AI understands us better; alignment, attribution, and uncertainty to make models safer; data-centric AI to improve scaling; and better ways to evaluate AI models.
* Been Kim discusses AI explainability. AI has taken an engineering-centric approach, where researchers devise techniques via trial and error, and she urges developing fundamental scientific principles that make explanations more trustworthy and accurate.
* Reza Zadeh sees generative AI bringing progress to active learning, where a system picks its own examples to be labeled to improve the data. With generative AI, he sees a potential revolution in algorithms generating new data to request to be labeled.
Thank you Yoshua, Alon, Douwe, Been and Reza for writing for The Batch!
https://lnkd.in/gR4BrUFn -
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What do you hope for in AI in 2023? -
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2022 has been a great year for AI progress. Excitingly, this has laid a foundation for even more progress in 2023. Happy New Year, friends! 🎉 -
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Despite the cold weather, we’re in the middle of a red hot AI summer.
Read my thoughts — and a roundup of this year’s biggest AI news — in The Batch! -
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I find AI’s role in the FIFA World Cup has made the game more fun! ⚽️
Human referees have struggled to accurately call violations of the off-side rule -- a complex rule involving positions of multiple players and the ball.
This is where computer vision steps in: Twelve cameras track the players, and embedded sensors track the ball. Accurate real-time localization of everyone/everything makes off-side calls more accurate.
It is inspiring that AI is making its way to all corners of society, with many applications large and small.
For the World Cup final, here’s wishing good luck to the Argentina team 🇦🇷, The France team 🇫🇷, and the AI engineering team 🤖!
More about this in The Batch. -
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New ebook! How can you build a career in AI?
This compiles my tips on how to:
∙ Learn technical skills 🎓
∙ Choose and build AI projects 🧑💻
∙ Find a job 🦾
Let me know what you think!
https://lnkd.in/g6CeBvBh -
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New course announcement! Math for Machine Learning and Data Science.
Designed to make learning AI's math easy:
∙ Linear algebra
∙ Probability & Stats
∙ Calculus
Will help learners build better ML systems and pass job interviews. -
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Large language models like Galactica and ChatGPT can spout nonsense in a confident, authoritative tone. This overconfidence - which reflects the data they’re trained on - makes them more likely to mislead.
In contrast, real experts know when to sound confident, and when to let others know they’re at the boundaries of their knowledge. Experts know, and can describe, the boundaries of what they know.
Building large language models that can accurately decide when to be confident and when not to will reduce their risk of misinformation and build trust.
Go deeper in The Batch: https://lnkd.in/g8TrHCYz -
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ChatGPT is sometimes amazing, and sometimes hilariously wrong. Here, it explains to me why an abacus is faster than a GPU. 😀 -
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Congratulations Dr. Mark Chrystal and the Netail team on closing $5M in funding to build AI to help retailers with pricing analytics. This is an exciting application of machine learning and will help many businesses. I'm also happy to see Netail pick Pittsburgh (where I had lived while attended CMU) as its headquarters!
AI Fund is proud to support Netail alongside Magarac Venture Partners and HKSTP Capital. -
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AI twitter had erupted in controversy over Meta’s release of the Galactica demo. Is it a dangerous product, or was it unnecessarily maligned with overblown fears of harm? Here’s my take. -
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A new UN Climate Change report estimates we might be on track to 2.5°C of warming. It's time to seriously consider cooling down Earth by geoengineering using stratospheric aerosol injection, a solution in which AI will play a critical role. See why. -
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Halloween is coming! 🎃 Check out our special issue of The Batch on this year's biggest AI fears. 👻 -
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I’d like to address the serious matter of some newcomers to AI experiencing imposter syndrome, where someone wonders if they’re a fraud or really belong in the AI community. Lets build a community that encourages and welcomes everyone. -
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The open way that Stable Diffusion's image generation model was released -- allowing users to run it on their own machines, not just via API -- has made it a landmark event for AI. Kudos to Emad Mostaque and the Stability AI team! More in The Batch. -
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I'm thrilled to welcome Dan Maloney to Landing AI as our COO! To democratize access to AI, the world still needs better tools. Dan has deep experience bringing powerful AI tools to many users. I look forward to working alongside him to provide widespread access to data-centric AI software that makes computer vision easy!We're excited to welcome our new Chief Operating Officer, Dan Maloney!
Maloney brings 20 years of high tech experience as a strategic and operational leader for startups and large, multinational enterprises.
Learn more here: https://bit.ly/3QM2yiy
#ComputerVision #leadership #DeepLearning #MachineLearning -
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Today is Labor Day in the U.S. I wish for all workers everywhere that we will all find work that is meaningful and joyful. -
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Finding an AI job can be difficult. By paying close attention to certain details during your search, you can raise your odds of finding a role, team, and company that you truly love. Read more in #TheBatch. -
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Interested in a job in AI, but unsure what different roles entail? Informal chats with working professionals can help you narrow your job search, and are a great way to build your network. Read my tips on informational interviews (which are different from job interviews) in The Batch: -
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President Biden's $10,000 student debt forgiveness announcement is a reminder we need to make the education system better. Education needs to become more affordable, more inclusive, and less exclusionary. We also need to pay more attention to helping students find good jobs.
Good education really changes lives, but we also can’t continue to have students take out loans to pay for programs that don’t deliver hoped-for benefits. The current system isn’t sustainable, and we can and must do better. -
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Here's a framework useful for searching for an AI job. Especially for people entering the field, consider if you’re switching roles and/or industries. Please take a look, and if you have any other AI job search tips to share with others here, please reply to this post! -
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Happy 75th Independence Day to all my friends in India! 🇮🇳Democracy is a powerful tool for improving people's lives. It is wonderful to see the many people in India and worldwide continuing to fight for this ideal. -
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Reinforcement learning (RL) algorithms are quite finicky -- sensitive to picking hard-to-tune hyperparameters -- compared to supervised deep learning, which has become much more robust the past decade. Will RL progress similarly? My thoughts in The Batch: -
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Course 3 of the new Machine Learning Specialization is now available on Coursera! We'd launched Courses 1&2 last month, and this final course teaches unsupervised learning, recommender systems, and reinforcement learning. Check it out here: -
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To advance a career in AI, how should one pick projects to work on? Your career will include a sequence of projects growing in scope and complexity. So it helps to pick what can be a stepping stone. My tips on this career progression process in The Batch. -
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Join me for an interactive discussion about Accelerating Your AI Career on Aug 3rd at 10am PST.
I’ll be chatting with AI investor Allie K. Miller and Coursera’s Chief Product Officer Shravan Goli about the skills that'll help someone begin or advance in their machine learning journey.
I’ll also be conducting a short demo of the new Machine Learning Specialization, and look forward to a live Q&A with everyone.
Reserve your spot here: -
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How do you pick projects to advance in a technical career in AI? Your career will include many projects, hopefully growing in scope, complexity, and impact over time. Picking good projects will create stepping stones for you to move forward and up. Tips in this week's The Batch. -
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What are the most important topics to study for building a technical career in AI? I share my thoughts on this in The Batch. -
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The new Machine Learning Specialization by DeepLearning.AI and Stanford Online is now available on Coursera!
In three beginner-friendly courses, you’ll learn the fundamentals of machine learning and gain practical experience building and training models using Python.
Unlike the original course, which required more knowledge of math, this new Specialization is designed to be more accessible for first-time learners. This expanded list of topics will give you a practical understanding of important concepts such as modern neural networks and decision trees, and provide experience with key tools like TensorFlow.
I hope the updated courses will empower the next generation of learners. So please help me spread the word, and encourage your friends to take this too!
Check out the new Machine Learning Specialization: https://bit.ly/3my74opMedia is loading -
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Congratulations to Andrea Pasinetti and the Kira Learning team on this exciting milestone! Computer Science education is a much needed skill for K-12 students, which is why more and more school districts are including it in graduation requirements. Similar to English and Math, Computing will be central to our children’s lives and careers.
This shift will be a big challenge for schools and school systems already strained by post-pandemic learning loss and teacher shortages. Kira Learning is building what I believe will be the go-to solution for K-12 educators and administrators looking for standards aligned curriculum, content, and learning tools. DeepLearning.AI and AI Fund are both proud to support Kira Learning.Today we’re excited to announce Kira Learning's $6M Seed Round co-led by New Enterprise Associates (NEA) and Andrew Ng’s AI Fund!
We’re grateful to have partners who are so strongly committed to our mission of ensuring all K-12 students have equitable access to state-of-the-art, standards-aligned Computer Science curriculum, content, and learning tools.
In preparation for our Fall rollout, we’ll be offering a limited release AI mini-course this July. In just 3-weeks we will guide students from the principles of Python coding to building their own functioning neural networks.
Want to learn more? Check out the news below! -
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How will rising interest rates affect AI? Projects that deliver financial returns within a few years will look more attractive than long-term bets. AI teams should be ready for increased pressure to demonstrate near-term tangible value. More here: -
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Read about the surprising origins of many of Machine Learning’s foundational algorithms here. Many algorithms were invented long before digital computers. I also found the first application of logistic regression, K-means and other algorithms fascinating! -
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The call to arm teachers following the Texas school shooting tragedy is an awful idea.
Teachers need to focus on helping students learn, not on preparing for a shootout. The U.S. needs better gun safety laws to protect children. -
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Coursera had started with my machine learning class. I’m delighted to announce that I’ll be teaching a new and updated Machine Learning Specialization, created jointly by Stanford Online and DeepLearning.AI. Please help me spread the word! You can sign up here: https://lnkd.in/gw7gXRUEMedia is loading -
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Hello New York! Looking forward to speaking at Insight Partners' ScaleUp conference today.
Also, thanks, um, for putting my face on a giant building. 😀 -
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I had fun speaking at GTC this week. You can watch a video here: https://nvda.ws/3JxcmKH
I showed the first public demo of some data-centric features of LandingLens, an MLOps platform for computer vision built by Landing AI. Another highlight for me was during the Q&A, when Bryan Catanzaro mentioned that NVIDIA's cutting-edge DLSS project (applying deep learning to graphics) also takes a data-centric AI approach! -
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I’d started speaking about data-centric AI development (in this youtube video) exactly a year ago - on Mar 24, 2021. It’s great to see the momentum the movement has. https://lnkd.in/gtsG3DM
Huge thanks to all the developers, researchers, students, entrepreneurs, investors, business leaders, workshop organizers, reporters and others pushing data-centric AI forward! -
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I stand with Ukraine 🇺🇦 against Putin's unprovoked invasion. -
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To help anyone apply Data-centric AI, I’m excited to announce a new resource hub, with articles by experts (including Anima Anandkumar, Michael Bernstein and D Sculley) and videos of the NeurIPS Data-centric AI workshop talks. Will keep adding content in the coming months. Check it out! -
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Thanks everyone for your well wishes last week after I tested positive for Covid. You really made me feel better!
I'm now almost symptom free, and it looks like the virus is clearing out of my system.
Also, Happy Valentine's Day! ❤️ -
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Eliza Strickland wrote a nice piece on our interview on Data-Centric AI, in IEEE Spectrum. Worth a read for anyone interested in data-centric development. Also touches on foundation models, big data vs. small data, and practical data engineering. -
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I just tested positive for Covid.
I am very grateful to the people that’ve worked on vaccines worldwide. My symptoms are comparable to a mild flu, but if I hadn’t had a vaccine & booster, I’m sure it would have been much worse. Thank you! ❤️ -
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How can you build a career in AI? This week's special issue of The Batch features guest articles that share advice on this. Please take a look! https://lnkd.in/gT_ukAwY
The articles cover:
- How to learn machine learning (by Kian Katanforoosh)
- How to gain practical experience (by Julien Despois)
- How to overcome societal obstacles (by Benjamin Harvey)
- How to get a job in AI (by Luis Serrano)
- How to keep up in a changing field (by Eugene Yan) -
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The DeepLearning.AI mentors play a huge role in helping online learners. I’d like to invite you to “How to #BeADeepLearner” on Wed, Jan 26, where a panel of mentors will answer your questions about the Deep Learning Specialization or about building an AI career. https://lnkd.in/gX2yPj9P -
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Given the impact of Computer Science and AI on every person, it is important to introduce K-12 learners to these subjects. I’m thrilled my friend Andrea Pasinetti (one of the best education leaders I know) is launching Kira Learning to transform K-12 computer science!I'm excited to share what I've been working on as a Founder-in-Residence at the AI Fund for the past several months: Kira Learning is using AI to reimagine K-12 education publishing, beginning with computer science.
I'm grateful for the chance to work with Andrew Ng, who is Chairing our company's Board, and for the trust and support of the investors joining us on this journey: AI Fund, New Enterprise Associates (NEA), and Primavera. We're also fortunate to benefit from the collective experience of an amazing Board of Advisors, including Teach For All Founder Wendy Kopp, and former CEO of Pearson John Fallon.
Please check out our blogpost below if you're interested in learning more. We're also hiring for a number of roles in product, engineering, and operations - if our vision moves you, I hope you'll join us!
#computerscience #edtech #hiring -
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I'm thrilled to welcome manufacturing machine vision and industrial automation guru David Dechow to Landing AI. He's trained up generations of machine vision engineers. Looking forward to his help scaling up deep learning in manufacturing! -
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Happy New Year! Over 1 million learners have taken the Deep Learning Specialization by DeepLearning.AI on Coursera. This month, I’m excited that we're celebrating our learners. I hope their stories will inspire you to continue on your own learning path! https://lnkd.in/g-7NihNp -
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Thanks to everyone that participated in the Data-centric AI NeurIPS workshop! I was surprised and delighted at the sheer amount of innovation in the field. I also share some of my reflections from the workshop in The Batch. -
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We're holding the first NeurIPS Data-centric AI workshop next week on Dec 14th! We had over 160 paper submissions, and I’m excited to hear about all this incredible work in Data-centric AI. Check out the program here: https://lnkd.in/guVixDmU
Thank you to all the workshop presenters, plus a shoutout to my co-organizers Lora Aroyo, Cody Coleman, Greg Diamos, Lynn He,
Vijay Janapa Reddi, Joaquin Vanschoren, Carole-Jean Wu, Sharon Zhou. -
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Thank you Fortune Magazine and Brian O'Keefe for having me at the Brainstorm AI conference to talk about Data-centric AI and Landing AI's new fundraise. Fun event! -
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CNBC wrote a nice piece on Landing AI’s $57M Series A. Thank you to McRock Capital for leading the round, as well as investors Insight Partners, Taiwania, Canada Pension Plan, Intel Capital, Samsung Catalyst, DRIVE Catalyst, Walsin Lihwa, and AI Fund! -
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I’m thrilled LANDING AI has closed a $57M Series A, for our Data-centric MLOps platform for computer vision. Industrial AI needs a different recipe than Internet companies. It's time to make cutting-edge AI fast and easy for anyone to use! -
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I'm a big fan of Hugging Face. Thank you for working with the DeepLearning.AI team on this!We’re thrilled to partner with DeepLearning.AI to create some great new content for their Natural Language Processing Specialization on Coursera!
With this update, you can access exciting new material and lectures that cover the state of the art in NLP.
Check out the course here: https://lnkd.in/dzV3YbTa
#deeplearning #artificialintelligence #nlp -
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Thank you to everyone who participated in the Data-centric AI Competition. I’m excited to announce the winners!
The Best Performance Overall goes to Divakar Roy, Innotescus®, and Synaptic-AnN (Nidhish Shah, and Asfandyar Azhar).
Most Innovative goes to Mohammad Motamedi, Johnson Kuan, and GoDataDriven | Part of Xebia.
Honorable Mentions also to Pierre-Louis Bescond and KAIST-AIPRLab (Youngjune Lee, Oh Joon Kwon, Haeju Lee, Joonyoung Kim, Kangwook Lee).
Congratulations to all the teams! I’m looking forward to learning about their amazing stories---stay tuned!
DeepLearning.AI LANDING AI -
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How would you define Data-centric AI development? It'd be useful for all of us collectively to write a sharable definition. Here's my attempt: Data-centric AI is the practice of systematically engineering the data used to build AI systems. What do you think/any suggestions? Please also 👍 anyone else's suggestions that you see and like! -
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I would love your thoughts on this: Data-centric AI is still an emerging field, but what do you think are the key pillars of data-centric AI? E.g., if you were reading a textbook on this nascent field, what are some major topics you’d like the book to include? -
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Happy International Programmers' Day! This is celebrated on the 256th day of the year, which is today. ❤️ all of you writing or learning to write software for other people to use! -
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Announcing the NeurIPS Data-Centric AI workshop! This will be the premier event for academic research on Data-Centric AI. Deadline for research article submissions is Sep 30th. Check it out! -
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We’re organizing a NeurIPS Workshop on Data-centric AI, to be held Dec 14th. Stay tuned… official announcement coming soon, together with the call for papers (invitation to submit your research work)! -
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This writeup on the Data-Centric AI competition has some greats tips on data-centric approaches to getting good performance. Thanks Pierre-Louis Bescond for sharing these insights! -
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Interested in learning how to improve machine learning performance using a data-centric AI approach?
Join me and an expert panel including Alexander Ratner,
Joaquin Vanschoren,Salwa Muhammad, Carlos Alzate and
Dillon Laird for a live event on August 11th at 10am PT! RSVP: -
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Both business and technical leaders interested in AI should get involved in the Data-Centric AI movement now. This will lower the barrier to adoption for many valuable applications. Check out this Harvard Business Review article to learn more. -
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Mental health is one of the most important problems of our time, and it is exciting to see Woebot Health leading the way. Congratulations to the Woebot team on this milestone!Today Woebot Health is excited to announce that we have secured $90M in Series B #funding, bringing total #investment in the company to $114M. The round was co-led by JAZZ Venture Partners and Temasek, with participation from funds and accounts managed by BlackRock Private Equity Partners and Owl Ventures. The funding will allow us to accelerate further development of our relational platform and technologies, advance our lead #digitaltherapeutic candidates, and expand our team to meet the surging global demand for mental health care. We’re thrilled to be forging the new frontier of technology-enabled #mentalhealth care together with our incredible partners. https://bit.ly/3xXd0Lx
#AI -
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I’ve been following the Data-Centric AI competition leaderboard with excitement. Right now Wei Jing is in the lead, followed closely by AryanTyagi. Bi2i and Svpino are tied for third place. Anyone want to take them on? -
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Thank you for having me! It is inspiring to see Mastercard thinking deeply about responsible AI and data-centric approaches to AI. Getting to chat with JoAnn Stonier, Rohit Chauhan and others on your team was… priceless!We recently invited Andrew Ng, founder of DeepLearning.AI and the Google Brain project, to talk to Mastercard employees about responsible AI. It was an important conversation and one we’ll continue to have here.
AI is just about everywhere today, but if it’s used the wrong way it can create serious problems. Think about the impact to consumers, like someone missing out on a loan that should’ve been approved.
If we don’t fix bias in AI, problems like this will keep happening and come up in more places.
We need to use data principles, consumer protections, diversity in development teams and constant checks of programs to reduce bias and blind spots.
I invite others to join us in confronting this obstacle. More dialogue will bring about more tech that works for everyone, everywhere. -
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Next week on June 30, I’ll be with my Machine Learning Engineering for Production (MLOps) Specialization co-instructors Robert Crowe and Laurence Moroney, as well as Chip Huyen and Rajat Monga, in a live event to talk about MLOps. Hope to see you there! -
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Good article by Gil Press describing Data-Centric AI, and why this approach is critical to helping many industries create valuable AI systems. -
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Announcing the Data-Centric AI competition! I’m excited to invite you to participate in this new competition format, and see how you can improve an AI system only by refining the data it depends on! https://bit.ly/3vwE56i -
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Love seeing the data-centric AI development movement growing! Starting this month, FourthBrain (online AI bootcamp and AI Fund portfolio company) will be teaching data-centric approaches to MLOps! -
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Congrats to Antje Barth, Shelbee Eigenbrode, Sireesha Muppala and Chris Fregly on launching the Practical Data Science Specialization on Coursera in partnership between DeepLearning.AI and Amazon Web Services (AWS). Bridging the gap from idea to production is a critical skill for all ML practitioners. https://lnkd.in/dHKManR -
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Would love your feedback on this: AI Systems = Code (model/algorithm) + Data. Most academic benchmarks/competitions hold the Data fixed, and let teams work on the Code. Thinking of organizing something where we hold the Code fixed, and ask teams to work on the Data.
Hoping this will more closely reflect ML application practice, and also spur innovative research on data-centric AI development. What do you think? -
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I'm thrilled DeepLearning.AI’s Machine Learning Engineering for Production (MLOps) specialization is now available on Coursera! Check it out here: https://lnkd.in/gdyETWF
Being able to train ML models is essential. And, to build an effective AI career, you need production engineering skills as well, to build and deploy ML systems. With this specialization, you can grow your knowledge of ML into production-ready skills.
Thanks also to my co-instructors Robert Crowe and Laurence Moroney. -
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Just updated the Deep Learning Specialization with the latest advances. This 2021 release goes up to Transformer Networks, and programming exercises are now in TensorFlow 2. If you’re still wondering whether to learn DL, this is a good time to jump in! Learn here: -
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Join Fei-Fei Li, Curt Langlotz, and me for a fireside chat next week on April 29 to hear us talk about healthcare’s AI future: https://lnkd.in/gXzm_a2 -
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This Sunday is my birthday! The best gift 🎁 to me would be if you can watch this video and let me know what you think. https://lnkd.in/gtsG3DM
Lets you and I work to shift AI from Model-Centric toward Data-Centric AI development, which will help many teams. -
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Nice writeup on why I think we should move from model-centric AI development (where the emphasis is on improving models) toward #DataCentricAI (where we systematically improve the data, using MLOps tools). This will help many teams accelerate building and deploying AI systems. -
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When I think about what we can do to build a brighter future for our children, the most important thing is to create a foundation for education. Because education is knowledge. And knowledge is human progress. -
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I’ve been thinking about how to accelerate how all of us build and deploy ML, and have some ideas I want to share. I hope you’ll join me on this interactive livestream next Wednesday to chat over some ideas! https://lnkd.in/gYYzR_K -
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In 2021, what do you think is the single most important problem that the AI community should be working on? -
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Democracy has taken a lot of damage recently. Last Wednesday was a nadir for the U.S., and the path ahead will be long and hard. But I believe the country has reached a turning point. Here're my thoughts on the role AI can play to support democracy. -
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This week's The Batch gives an overview of some major AI themes and stories we saw in 2020. Check it out! -
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What rules regarding publishing papers would be fair, when it relates to work done by researchers working for companies? I ask this question in this week's The Batch, and would love to hear your thoughts. https://lnkd.in/gUx6piK -
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AI continues to create many opportunities for startup creation. I talk about some factors that influence startup success in today’s The Batch: https://bit.ly/37xJIak
If you're an aspiring AI entrepreneur, please let us know how we can help you in our short survey: https://bit.ly/3lv3pon
https://lnkd.in/ggAK6ED
https://lnkd.in/gfkfrXM
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When HLP (human level performance) on an ML task is low, rather than just setting out to build a system to beat HLP, sometimes we should instead review of how the labels are defined. More details in today's The Batch letter.
You can also find this week's and previous editions here: https://lnkd.in/gigM6j2 -
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I talk about AI+Manufacturing in today's edition of The Batch, and why it is time to rethink how we use Human Level Performance as a metric that we try to beat. This is a concept that has been very useful for AI research, but is only sometimes useful for building practical ML systems. -
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I wrote about LandingLens and its unique features in The Batch; reposting here. AI has the problem of needing customization, which is why we need verticalized platforms like LandingLens to empower manufacturing & other domain experts to build and deploy AI models. https://lnkd.in/dZZm6zQ -
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I'm excited to announce LANDING AI's LandingLens, a visual inspection platform to help manufacturers build and deploy visual inspection systems. We need to lower the bar to AI! https://lnkd.in/g2Z-7_XMedia is loading -
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Fun article about my amazing father, who has completed 146 online courses! (I also talk about this in today's edition of DeepLearning.AI's The Batch.) https://lnkd.in/gTeNnem -
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The GANs Specialization by DeepLearning.AI just launched on Coursera! You’ll master foundational GAN concepts, build your own GAN to transfer image styles, implement state-of-the-art StyleGAN techniques, and more. Check it out: https://bit.ly/3h3z9OU -
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Ian Goodfellow, Anima Anandkumar, Alexei Efros, Sharon Zhou and I will be speaking at GANs for Good, an online panel, on September 30th at 10am PDT. This is to celebrate the launch of DeepLearning.AI's new Generative Adversarial Networks Specialization. Come join us! https://bit.ly/3hPfLpy
You can also sign up to get course updates: https://bit.ly/2FZixuU -
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I asked on social media what the AI community should work on, and many responded--thank you. I think if we come together as a community we can make better progress. I wrote about this in deeplearning.ai's newsletter The Batch today (reposted here). Would love to hear your thoughts! -
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More companies should tell employees it's fine if your kids show up on Zoom when you're working from home. This isn't a sign of someone being unprofessional. This is a sign that you're a human being.
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Ken Church, Marti Hearst, Łukasz Kaiser, Younes Mourri and I will speak at Break into NLP, a virtual live event on July 29 at 10am PDT, to mark the launch of Course 3 of the deeplearning.ai NLP Specialization. You can sign up here: https://lnkd.in/gpSwQsF
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Is your organization pursuing workforce transformation? Coursera’s #GlobalSkillsIndex 2020 is the definitive resource for understanding the world’s essential job skills by country and industry.
Download our free annual report for a comprehensive global analysis of skills proficiency, and start advancing your future workforce strategy today.
Some highlights of this report:
• Industries with more highly skilled talent, especially in technology skills, see higher stock returns and less disruption from COVID-19.
• A country’s skills proficiency significantly correlates with its GDP per capita, and income inequality.
• Demand for personal development skills such as confidence, stress management, and mindfulness has grown by 1,200% among individual learners.
This year's Global Skills Index includes insights that draw on performance data from over 2,400 corporate and government customers.
Get your copy today to discover which essential job skills your organization needs to develop in order to stay competitive for the future of work. https://bit.ly/30eVMK9
#Skills4Tomorrow -
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I'm grateful for Dr. Fauci's tireless work to disseminate good science about the pandemic.
When we see a scientist (or anyone else) unfairly attacked, we need to speak up. It is by doing so that we defend not just the scientist, but also the scientific process.
#IStandWithFauci -
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I wrote in today's edition of The Batch about the new F-1 visa policy, and want to share that message here as well. #StudentBan -
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The new ICE policy regarding F-1 visa international students is horrible and will hurt the US, students, and universities. Pushes universities to offer in-person classes even if unsafe or with no pedagogical benefit, or students to leave the US amidst pandemic and risk inability to return.
Here's the text of the policy. This puts the US, students and universities in a lose-lose-lose situation. https://lnkd.in/gx4E85S -
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The suspension of the H1B visa program is bad for the US, bad for innovation, and will shatter dreams and disrupt lives. As a former H1B visa holder, my heart goes out to all the families affected. -
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Happy Juneteenth! Raising awareness this past month on Black lives matter was important. But what’s next is even more important: that we keep supporting it even years from now when it’s not a trending social media topic. Racial justice will take years; lets plan to be in it for the long haul. -
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Congrats to Andrej Karpathy for being named a TR35 recipient! https://lnkd.in/gPYh9ec You can also listen to his interview with deeplearning.ai here: https://lnkd.in/gyg-P3f -
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Our new Natural Language Processing Specialization’s first two courses are now on Coursera! https://lnkd.in/gJXcWSg You'll build your technical foundations and work on projects ranging from sentiment analysis to language modeling to autocomplete. Check it out!
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Congratulations to the #Stanford2020 class that just graduated today! An online commencement wasn't what anyone had envisioned, but I am excited to see what you will accomplish and the contributions you'll make to this chaotic world. Proud of all of you! https://lnkd.in/gfmJUqT #stanford
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Today we’re announcing that undergraduate and graduate students can continue building in-demand career skills during COVID-19 with free access to 3,800 courses, Guided Projects, Specializations, and Professional Certificates.
Find out more and help us tell the world! #CourseraTogether #SkillUpTogether -
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Social distancing is needed to keep us safe. So Landing AI created this AI tool to help our customers in essential industries maintain #SocialDistancing in the workplace. We hope many people can benefit from these ideas. https://bit.ly/3ew1u0C
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One of the fastest-growing AI applications is medicine. So I’m excited to announce that Courses 1 and 2 of deeplearning.ai‘s new AI For Medicine Specialization are now available on Coursera! You’ll learn to diagnose diseases from X-rays and build your own prognostic models: https://bit.ly/3aFqDDu -
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Many people are going through a hard time--anxious about the situation, financial worries, loneliness--because of Covid-19 and social distancing. I’m really glad that the Woebot team has been working to help. -
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Kudos to Jack Dorsey for his $1B donation for Covid-19 efforts. He's one of the people I really admire--in addition to being a skilled executive, he's also a decent human being that cares about others. Today's world needs more leaders like Jack, and I'm glad he's leading Twitter. -
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In anticipation of deeplearning.ai’s new AI For Medicine Specialization, I’ll be speaking at our online event with Eric Topol, Lily Peng, and Pranav Rajpurkar about this fast-growing application area. You can register here: https://lnkd.in/gytKQH6 -
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Congratulations to my colleague Pat Hanrahan and to Ed Catmull on winning the Turing Award for work in Computer Graphics, the effects of which we now enjoy in many movies. Fun fact: ~12 years ago my students were also getting advice from Pat's group on GPGPU for DL! -
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What tips do you have for remote work? Tech has adopted remote work ahead of most others. Lets do our part to help others implement remote where possible, to speed up #socialdistancing. Please reply and share your ideas for #remotework. #COVIDー19
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Happy Pi Day! 🥧 We announced the Pie & AI series one year ago, and in 52 weeks have hosted 64 Pie & AI events in 32 countries, thanks to our event ambassadors.
With COVID-19, I hope everyone will continue to organize meetings but online, and keep sharing knowledge. Lets support each other through this! -
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Google just announced their new TensorFlow Developer Certificate, which is a great way to showcase your TF skills. Check it out: https://lnkd.in/gWS8tru
If you want to take the certificate but don’t know TF yet, deeplearning.ai’s TensorFlow in Practice specialization is the best way to prepare for the exam: http://bit.ly/2U0PDhh
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A huge thank you to everyone in healthcare---doctors, nurses, hospital staff, epidemiologists, scientists, and others---working to fight the Covid-19 pandemic and protect all of us. -
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Chatting with Lex Fridman about ML, rise of MOOCs, what’s hard in learning AI, ... was the most fun interview I’ve done recently. (Thanks Lex for such a great conversation!) You can watch it here: https://lnkd.in/ggFx5xp
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Consumer internet companies with 1B+ users have popularized Big Data. But industries like manufacturing, agriculture & healthcare need AI to work on Small Data. This article gives an overview of the emerging Small Data techniques that you may find useful for such problems.
+LANDING AI, +Alejandro Betancourt, Ph.D. -
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Happy multi-cultural palindrome day! Works whether your preferred date format is MM/DD/YYYY or DD/MM/YYYY or YYYY/MM/DD. -
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Great chatting with Lex Fridman. We talked about everything from the early mistakes I made building MOOCs to the challenges of deploying AI systems. Stay tuned for the podcast episode! -
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RIP Professor Clayton Christensen. The world has lost a brilliant mind and a wonderful person, whose teachings on the Innovator’s Dilemma have influenced countless people, and are as relevant as ever for navigating AI’s disruptive impact. We will miss you. -
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Many aspiring AI engineers ask me how to take the next step and join an AI team. This report from Workera, a deeplearning.ai affiliate, walks you through how AI teams work and which skills you need for different AI career tracks. You can download it here: http://bit.ly/2FulDni -
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Courses 1 & 2 of deeplearning.ai's newest Specialization, TensorFlow: Data and Deployment, are now available on Coursera! Enroll here: http://bit.ly/3461Btc
Training a model is only one step in building a working AI system. These courses teach you how to navigate some key deployment scenarios, and also goes over tools to help you work more efficiently with data. -
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Since announcing Pie & AI in March, we’ve held events in 16 cities around the world. Let's keep the momentum going! If you want to host an event with us and support your local community of deep learners, you can apply at deeplearning.ai/events.Media is loading -
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It’s Halloween, but we don’t have to succumb to our fears, especially around the future of AI. If you want to know how scared you should or shouldn’t be, you can read our take on 6 AI fears in the Halloween special edition of The Batch! -
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I recently reread Fred Brooks’ classic essay “No Silver Bullet,” as I’ve been thinking about how to reduce the essential complexity of building ML systems. Shared some thoughts about it in The Batch this week, which you can read here: -
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I’m delighted to announce our first international office in Medellin, Colombia! Landing AI, deeplearning.ai and AI Fund have teams there. AI needs to expand beyond a small handful of hubs like Silicon Valley and Beijing, and I’m bullish about Latin America. See why: https://lnkd.in/g_i3Ydi
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Introducing The Batch, deeplearning.ai’s new weekly newsletter! AI is growing so fast that it’s hard to know what news is useful or valuable - subscribe to The Batch for a curated report on the latest AI research and industry-shaping events: http://bit.ly/2YYztFX -
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The final course of the deeplearning.ai TensorFlow Specialization is now available on Coursera! You’ll learn how to build time series models in TensorFlow, and at the end you’ll train a deep neural network on real-world data to predict sunspot activity: http://bit.ly/2K3Ropd -
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I’m excited to welcome Kelly Seelig as Landing AI's new VP of Marketing & Communications. Having helped build brands for some of Silicon Valley’s most notable companies, Bloom Energy, BlueJeans, and Cobalt Networks, Kelly’s already igniting the team with fresh ideas. Check out our new website! http://landing.ai -
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Course 3 of the deeplearning.ai TensorFlow Specialization is now available on Coursera! You’ll learn how to process text using tokenization and train LSTMs to create original poetry. You can enroll in the Specialization for $49/month or audit for free: http://bit.ly/2ZkmPRY -
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Great conversation with Christine Payne about her work on MuseNet music composition. A year ago, she took the deeplearning.ai Deep Learning Specialization, and now she’s working on cutting-edge NNs at OpenAI!Captions are auto generatedMedia is loadinga neural network that wrote the music that -
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For the Deep Learning Specialization on Coursera, I interviewed some of the greats of DL. I hope they inspire you to start studying DL yourself: http://bit.ly/2DRrzX6
This article has key takeaways from the Heroes of Deep Learning conversations: https://lnkd.in/gw-jJP2 -
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I’m happy to announce my lab is working on AI+Climate Change. Climate change is one of humanity’s most pressing problems & the Tech community must help. I’m still exploring more projects. If you want to help, let me know here: https://lnkd.in/gFtBUF2 #EarthDay
Further, my Stanford group (h/t Jeremy Irvin and Sharon Zhou) is running an AI+Climate Change bootcamp with climate faculty. We’ve held an AI+CC symposium at Stanford (more details later) and you can also see more info on the bootcamp here.
https://lnkd.in/gzmeDg4
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Course 2 of deeplearning.ai's TensorFlow Specialization is now available on Coursera! You’ll learn how to use TF to handle real-world data, avoid overfitting with data augmentation and dropout, and more. You can take the course for $49 or audit it for free: https://lnkd.in/g-3qxFt
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I’m thrilled to welcome +Dongyan Wang as Landing AI’s new VP AI Transformations. He led strategic AI/IT initiatives at Midea Group, NetApp and Cisco. At Landing AI, he will lead customer engagement and strategic partnerships to help other enterprises adopt AI! -
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While having pie for Pi Day last Thursday, inspiration struck. We enjoy AI, we enjoy pie, and we want to share both with more people. 🥧
Introducing Pie & AI: a deeplearning.ai meetup series. Sign up so you’ll know when we’re coming to your town: https://lnkd.in/gmVCxhV -
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Announcing deeplearning.ai's newest specialization, TensorFlow: From Basics to Mastery!
This is created in partnership with the TensorFlow team, including our instructor Laurence Moroney. To be great at implementing AI algorithms, you need to know how to best use ML frameworks like TensorFlow.
Take Course 1: https://lnkd.in/gZwMUjk -
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I'm very excited to welcome Ted Greenwald to the deeplearning.ai team! Ted is a former Wall Street Journal editor, and will be leading a new editorial function to share with you the most important stories in AI. Stay tuned! -
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AI for Everyone was designed as a 4-week course, but 252 learners have already finished the whole thing! Congrats to all 252 of you. 🎉I don’t recommend cramming everything into one day, but it is possible to do the whole thing quickly if you want.
But whether you take 1 day or 4 weeks, possibly the best thing you can do for yourself is take the first step and get started! -
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AI For Everyone is now available on Coursera! This course will help non-engineers and engineers work together to leverage AI capabilities and build an AI strategy. If you want your company to embrace AI, this is the course to get your CEO to take! https://lnkd.in/gUkJygH -
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AI For Everyone will launch on February 28th! This non-technical course will teach you the language of AI, how to plan and execute successful AI projects, and how to drive AI adoption in your company.
This course is taught by deeplearning.ai on Coursera. You can pre-enroll here: https://lnkd.in/gnFFVpw -
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If your company wants to ramp up in AI, how should you choose your first few projects? I just wrote a Harvard Business Review article with practical suggestions. This fleshes out in detail the first step from the AI Transformation Playbook. -
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Gopi Prashanth is one of the unsung heroes of AI. Among other things, he built the AI tech for Amazon Go's "Just Walk Out" experience--one of the most amazing AI products of our generation. I'm thrilled to welcome him as Landing AI's new VP of Engineering!
More details: https://lnkd.in/gk2vEAU -
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I’m excited to share with you the AI Transformation Playbook: https://lnkd.in/gJMf_Pq
Drawn from my experience leading Google Brain, Baidu’s AI Group, and Landing AI, this Playbook provides a roadmap for your company to transform into a great AI company.
You can download a free copy of the AI Transformation Playbook here: https://lnkd.in/gJMf_Pq
Building strong AI capabilities for your company will require a long-term investment, but it is feasible for most enterprises. The AI Transformation Playbook will walk you through the following five steps:
1. Execute pilot projects to gain momentum
2. Build an in-house AI team
3. Provide broad AI training
4. Develop an AI strategy
5. Develop internal and external communications
Many of the biggest untapped opportunities in AI lie outside the software industry. I hope that this AI Transformation Playbook will help your company become an AI leader in your industry vertical.
Download your free copy of the AI Transformation Playbook here: https://lnkd.in/gJMf_Pq -
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Trying out some new hardware to reduce Landing Light’s inference time. If you want to work on applying AI to brand new industries (such as agriculture, manufacturing, healthcare, ...), look at our open positions! http://bit.ly/2Qq9UwZ -
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Announcing "AI For Everyone," the newest deeplearning.ai course! Whether you're a CEO, product manager, marketer, recruiter, designer, or financier, this non-technical course will help you understand how to apply AI in your company, and navigate AI's rise.
Or if you're an ML engineer or Data Scientist, this is the course to ask your CEO and non-technical collaborators to take, if you want them to understand enough AI to know how to work well with you.
You can sign up directly here: https://lnkd.in/gGYNttz or read more details here: https://lnkd.in/ghZVCjZ
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Just finished writing final few chapters of Machine Learning Yearning book draft, on how to organize and strategize your ML projects. Will send out soon -- sign up at http://mlyearning.org if you want a copy! -
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Chatted about my journey through AI, including stories from early days of Google Brain & Coursera, plus Landing AI and deeplearning.ai. Hope you'll find useful ideas and inspiration from this. Thanks Kevin Scott for doing this! https://lnkd.in/gTxFFXJ -
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Self-driving cars are here. Thank you to the City of Frisco, Frisco's Mayor Jeff Cheney, Frisco TMA, and NCTCOG Transportation's Michael Morris for working with us! Link to my presentation from this morning: https://bit.ly/2jFwDDh -
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After decades of anticipation, practical self-driving cars are here. Drive.ai will deploy a self-driving car service for public use in Frisco, Texas starting in July, 2018.
I’m thrilled to see the work of Dylan Keil and team at Bearing AI on reducing carbon emissions in shipping. Ships guided by Bearing have sailed over 75 million miles — the equivalent of sailing 3000x around the planet. That’s over a million tons of carbon emissions saved, plus a lot of data to keep training the system!